AI directory
Foundation models, vision-language-action systems, perception stacks and the tooling behind embodied AI.
Multimodal LLMs for Embodied AIClaude Opus 4.6
Anthropic's high-end multimodal large language model in the Claude 4.x family, designed to balance frontier reasoning with practical deployment.
Multimodal LLMs for Embodied AIGemini 2.5 Pro
Google DeepMind's flagship multimodal model with a 1M-token context window (2M coming) and native vision, audio, and video understanding. Strong reasoning and code generation. Used in robotics — including Gemini Robotics — for embodied reasoning and long-horizon planning.
Multimodal LLMs for Embodied AIGPT-4o (OpenAI)
<span data-contrast="auto">GPT-4o ('Omni') allows robots to see, hear, and speak in real-time. It acts as the high-level reasoning layer for mission planning and human interaction.</span><span data-ccp-props="{"201341983":0,"335559739":160,"335559740":278}"> </span>
Multimodal LLMs for Embodied AIQwen-VL
Open-weights multimodal LLM family from Alibaba. Latest Qwen3-VL ships in Dense and Mixture-of-Experts architectures from edge to cloud; Qwen2.5-VL covers 3B / 7B / 32B / 72B sizes. Strong vision, video understanding (>1 hour), and bilingual Chinese/English text recognition.
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